Powering the Internet of Things with Apache Hadoop: Four Customer Use Cases (German)
With over 30 billion things connected by 2020, the Internet of Things (IoT) has the potential to be one of the most disruptive technological advancements in recent ages.
Organizations are starting to leverage IoT to drive key business objectives, including monitoring and improving product performance, driving internal efficiencies, improving customer experience, and enabling new revenue and usage-based business models.
However, IoT will also drive an explosion of data that will need to be processed, stored, managed, analysed, and served (in some cases in real time) to enable business value. With millions of data events generated per minute from a multitude of sources, IoT will create far greater volume and variety of data than most information leaders are currently familiar with—requiring a modernization of information infrastructures to realize value.
Generating value from IoT entails effectively managing both data at rest as well as data in motion. In fact, the success of IoT deployments will depend on the ability of organizations to gain insights out of all this fast-moving, high-volume data. The need to drive real-time insights means that each step of the data-in-motion process—ingestion, processing, and serving—is critical.
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